Cargando…
Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models
The deployment of photovoltaic (PV) cells as a renewable energy resource has been boosted recently, which enhanced the need to develop an automatic and swift fault detection system for PV cells. Prior to isolation for repair or replacement, it is critical to judge the level of the fault that occurre...
Autores principales: | Khosa, Ikramullah, Rahman, Abdur, Ali, Khurram, Akhtar, Jahanzeb, Armghan, Ammar, Arshad, Jehangir, Amentie, Melkamu Deressa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928505/ https://www.ncbi.nlm.nih.gov/pubmed/36798945 http://dx.doi.org/10.1155/2023/2663150 |
Ejemplares similares
-
An Intelligent Cost-Efficient System to Prevent the Improper Posture Hazards in Offices Using Machine Learning Algorithms
por: Arshad, Jehangir, et al.
Publicado: (2022) -
Lightweight Hot-Spot Fault Detection Model of Photovoltaic Panels in UAV Remote-Sensing Image
por: Zheng, Qiuping, et al.
Publicado: (2022) -
Machine Learning Techniques for Antimicrobial Resistance Prediction of Pseudomonas Aeruginosa from Whole Genome Sequence Data
por: Noman, Sohail M., et al.
Publicado: (2023) -
Performance Enhancement of Ytterbium-Doped Fiber Amplifier Employing a Dual-Stage In-Band Asymmetrical Pumping
por: Mirza, Jawad, et al.
Publicado: (2022) -
Employment of Self-Adaptive Bayesian Neural Network for Systematic Antenna Design: Improving Wireless Networks Functionalities
por: Aliqab, Khaled, et al.
Publicado: (2023)